Big technology companies are recklessly pursuing profits from artificial intelligence and urgent action is needed to mitigate the risks from the rapidly growing sector, the head of the United Nations has warned. In a fierce attack on the technology multinationals, the UN secretary general, António Guterres, told the World Economic Forum meeting in Davos that every breakthrough in generative AI increased the threat of unintended consequences. Guterres linked the risks from AI to that posed by the climate crisis and said the international community had no strategy to deal with either. Addressing the WEF in the Swiss resort, the UN head challenged representatives of the tech industry in the audience to work with governments to put in place guardrails for AI. "This technology has enormous potential for sustainable development – but the International Monetary Fund has just warned that it is very likely to worsen inequality," he said, referencing an IMF report published on Monday.

Not only can this rapidly advancing technology improve the speed and accuracy of disease diagnosis and treatment, it has enormous potential to predict health problems, allowing for far more effective prevention programs that target at-risk populations. Dr. Hugo Aerts, Director of the Artificial Intelligence in Medicine Program at Brigham and Women's Hospital in Boston, says, "AI can automate assessments and tasks that humans currently can do but take a lot of time." Aerts notes that relying on "a human making an interpretation of an image--say, a radiologist, a dermatologist, a pathologist --that's where we see enormous breakthroughs being made." But despite these successes and benefits, there is reason to be skeptical about early computer models as stand-alone tools for screening cancers or predicting the onset of other diseases. But AI is undeniably improving the practice of medicine by having computers do what humans cannot – crunching huge amounts of data to expedite diagnosis and treatment.

Artificial intelligence has made great strides in healthcare. Over the last few years, computers have seen significant advancements. Modern computers can perform tasks such as interpreting data, analyzing, and solving problems. Machine learning (ML), although widely used in many industries is still a new application of AI in healthcare. AI has recently moved from academia and research labs to hospitals.

Artificial intelligence is no different to Lego; you want to make sure that different algorithms are compatible with each other, you want to make sure that the algorithms are correct and have minimal fault tolerance and when you start to combine different algorithms, you can create an algorithmic business with enormous potential. And to manage this AI Lego building process, your organisation requires a Chief AI. Since the Chief AI has a clear understanding of the business objectives of the organisation as well as the available technology already in-house, the Chief AI should be able to attract the right AI talent. Next to attracting the right AI talent, the Chief AI should be able to retain this talent by offering them interesting and challenging AI projects. Therefore, the Chief AI should be able to understand the business needs and be able to translate these to technical requirements and adapt (existing) AI tools to the business needs.

The possibilities are vast and the ability to inspire should not be undersold – this is a time to dream big. But in order to garner support for your AI ambitions, it is also necessary to demonstrate proof of concept. Here are some real-life examples of how AI can change the game for F&B manufacturers around the globe. AI systems deliver safer, more accurate production lines results with greater speed and more consistency than human workers. And on the factory floor, AI-based detection can be used to keep employees and equipment safer, identifying potential risks, such as a worker who has forgotten to wear the appropriate safety gear.

Artificial Intelligence (AI) is increasingly being used in medicine to support human expertise. However, the potential of these applications and the risks inherent in the interaction between human and artificial intelligence have not yet been thoroughly researched. The fear is often expressed that in future, as soon as AI is of sufficient quality, human expertise will become dispensable and therefore fewer doctors will be needed. These fears are further fuelled by the popular portrayal of this as a "competition" between humans and AI. An international study led by MedUni Vienna has now illustrated the enormous potential of human/computer collaboration.

Unlocking the enormous potential that artificial intelligence is supposed to offer will shape the future of software development. Strategic business interest in this breakthrough technology is growing day by day, and companies around the world are investing intelligently in AI. As more mature companies define their AI strategies, it is foreseeable that in the coming years, AI tools alone will be the key to success. It can generate trillions of dollars in business value. Artificial intelligence algorithms and advanced analysis techniques have enormous potential in software development to enable seamless real-time, large-scale decision making.

As the dictionary definition puts it, a buzzword is: "A word or expression from a particular subject area that has become fashionable by being used a lot." While buzzwords can get a bad press for being overused (and often misused), they usually become part of our vocabulary because they relate to new, exciting innovations with huge potential. The buzzwords I'll delve into in this post – artificial intelligence (AI), machine learning, deep learning, video analytics, the internet of things and edge computing – all have enormous potential in safety and security (and more). Indeed, their application will be essential if we are to take full advantage of the continued innovations in video hardware and software. A high-level definition of video analytics is fairly straightforward: software which automatically analyzes live and recorded video footage, providing alerts, automated responses and actionable insights.

Since the dawn of the computer age, software developers have dreamed of creating artificial intelligence (AI). Now, software is becoming smarter and transforming people's daily lives to an ever greater degree. Consumers are witnessing this transformation through developments such as personal assistants, self-driving cars and smart home applications. In fact, whole economic sectors are being revolutionised by intelligent technologies. This owed to computers becoming increasingly adept at recognising and analysing patterns in structured and unstructured data in a completely new way offering new business insight.